Aqeel-Ur-Rehman
Papers
1
Total Citations
10
H-Index
1
About
Aqeel-Ur-Rehman is a robotics and control systems researcher whose work centers on intelligent autonomous navigation and adaptive control strategies. His most cited paper, "Autonomous Mobile Robot Obstacle Avoidance Using Fuzzy-PID Controller in Robot’s Varying Dynamics" (2020, 10 citations), addresses a critical challenge in mobile robotics: maintaining high-performance obstacle avoidance under changing dynamic conditions. By integrating fuzzy logic with PID control, Rehman developed a laser sensor-based system that enables robots to detect and circumvent obstacles while adapting to variations in their own dynamics—such as changes in speed, load, or terrain. This contribution is particularly valuable for real-world applications where robots must operate reliably in unpredictable environments. His work bridges the gap between theoretical control design and practical implementation, offering a robust solution for autonomous navigation. With a focus on enhancing robot performance and safety, Rehman’s research has implications for industrial automation, service robotics, and autonomous vehicles. His approach demonstrates how hybrid control techniques can overcome the limitations of traditional methods, making his findings a useful reference for engineers and researchers developing next-generation mobile robots.
Research Focus
Key Achievements
Top Papers
- 1